An Improved RDH Model for Medical Images with a Novel EPR Embedding Technique

Mondal, Jayanta; Swain, Debabala; Panda, Devee Darshani

doi:10.1007/978-981-13-1810-8_42

Cited by 4 publications

(1 citation statement)

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“…In medicine, RDH methods are often used to enrich medical images with sections of the EPR (Electronic Patient Record), which is a digital version of a patient's paper chart (medical history, disease diagnosis, treatment methods, etc.) [12,13]. Additionally, RDH methods are applied not only to images, but also to video signals [14,15] and sound signals [16,17].…”

Section: Related Workmentioning

confidence: 99%

Reversible Data Hiding in Encrypted DICOM Images Using Cyclic Binary Golay (23, 12) Code

Dzwonkowski

Rykaczewski

2021

IEEE Access

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In this paper, a novel reversible data hiding method for encrypted images (RDHEI) is proposed. An efficient coding scheme based on cyclic binary Golay (23, 12) code is designed to embed additional data into the least significant bits (LSBs) of the encrypted image. The most significant bits (MSBs) are used to ensure the reversibility of the embedding process. The proposed scheme is lossless, and based on the receiver's privileges, allows recovery of marked data, original data and embedded data. Furthermore, the scheme can be used with any type of data, however it is best suited to 16-bit DICOM images of monochrome photometric interpretation. A modification to the standard DICOM network model was also introduced, to point out an example application of the proposed RDHEI method, i.e. an anonymized data storage outsourcing. A computer-based analysis has been carried out and simulation results are shown at the end of this paper.

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